Staff Applied AI Engineer

Qualified Health PBC is hiring a Staff Applied AI Engineer in Palo Alto, CA (onsite) to lead technical ownership for agentic workflow infrastructure across product lines.

Responsibilities

• Architect and build core agentic workflow infrastructure supporting 100+ workflows across multiple product lines.
• Define team-wide technical standards and reusable patterns for agentic workflow development, including eval pipelines, prompt frameworks, and deployment patterns.
• Lead design and code review for complex, cross-cutting integrations and production services.
• Own evaluation and adoption decisions for state-of-the-art LLMs (OpenAI, Anthropic, Mistral, etc.) across use cases, including build-vs-buy tradeoffs.
• Mentor engineers on production-grade agentic system design, MLOps, and shipping efficiently while maintaining reliability.
• Partner with product, engineering, and design leadership to shape the technical roadmap for AI-powered features.
• Identify and resolve systemic bottlenecks in workflow infrastructure before they limit broader team execution.

Requirements

• Strong software engineering foundation; Python required and deep familiarity with production system design.
• 5+ years building production software, including 2+ years building AI-powered applications with LLMs (ChatGPT, Claude, Anthropic, Mistral, etc.).
• Proven experience architecting REST APIs and services deployed at scale in cloud environments (GCP preferred).
• Strong grasp of MLOps, model deployment, and workflow automation, including experience setting standards or infrastructure other engineers build on.
• Track record of driving technical decisions with significant ambiguity and minimal oversight.

Technologies

• Python
• OpenAI
• Anthropic
• Mistral
• ChatGPT
• Claude
• REST APIs
• GCP
• LLMs

Desirable skills

• Bachelor’s + 7 years OR Master’s + 5 years in Computer Science, Engineering, or related field (or equivalent experience).
• Background spanning both software engineering and ML/AI systems.
• Experience designing eval pipelines, prompt tuning frameworks, or automation infrastructure at a platform level.
• Startup experience with a bias toward shipping fast and iterating.
• Exposure to both startup agility and the engineering rigor of a mature, at-scale codebase.
• Experience mentoring engineers or setting technical direction for a team.

Pay & benefits

• Salary range: $200,000 - $260,000 per year, depending on skills, qualifications, experience, and location.
• Eligible for equity and benefits.
• Competitive salaries with equity packages.
• Robust medical/dental/vision insurance.
• Flexible working hours.
• Hybrid work options.
• Inclusive environment that fosters creativity and innovation.